According to AlphaMoat, as of 2026-09, Google Home Control has 3,869 downloads and 5 stars — ranked #2,689 of 5,078 AI skills overall, and #106 of 246 in Life Service.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 124 | 3.8K | 5 | 2 |
| SkillHub ↗ | 150 | 3.9K | 5 | — |
Platforms count differently and update at different times.
The skill calls Google Assistant through a local Python bridge and requires Google OAuth credentials and dependencies. Those credentials provide persistent access to linked devices, and commands can change real-world device state. Protect credentials, use a trusted environment, and obtain explicit confirmation before any device-changing command. Setup calls for a Google Cloud project, enabled Assistant API and OAuth authorization; verify service availability before relying on it.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.9K | — | 5 |
| 2026-08 | 3.7K | +3.3% | 5 |
| 2026-07 | 3.6K | +7.2% | 5 |
| 2026-06 | 3.3K | +3.9% | 5 |
| 2026-05 | 3.2K | — | 5 |
| 2026-03 | 2.7K | — | 5 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: google-home description: Control smart home devices (lights, TV, etc.) via the Google Assistant SDK. Use when the user wants to trigger home automation commands. author: Mathew Pittard (Mat) --- # Google Home Control (N.O.V.A.) Created by: **Mathew Pittard (Mat)** Portfolio: [mathewpittard.vercel.app](https://mathewpittard.vercel.app)
This skill allows **Clawdbot** to control your smart home devices (lights, TVs, appliances) directly using a Python-based bridge to the Google Assistant SDK. ## 🛠️ Step-by-Step Setup To get this skill working, you'll need to link it to your own Google account. Follow these steps: ### 1. Create a Google Cloud Project 1. Go to the [Google Cloud Console](https://console.developers.google.com/). 2. Create a new project (e.g., "My Smart Home"). 3. Enable the **Google Assistant API**. ### 2. Configure OAuth 1. Go to **APIs & Services > Credentials**. 2. Configure your **OAuth Consent Screen** (set User Type to "External" and add yourself as a test user). 3. Create an **OAuth 2.0 Client ID** with the type **Desktop app**. 4. Download the JSON file and rename it to `client_secret.json`. ### 3. Prepare the Python Environment This skill requires a Python virtual environment with specific dependencies: ```bash # Create and activate environment python3 -m venv google_home_env source google_home_env/bin/activate # Install requirements pip install google-assistant-sdk[samples] google-auth-oauthlib[tool] tenacity ``` ### 4. Authorize and Generate Credentials Run the following command in your terminal to authorize the SDK: ```bash google-oauthlib-tool --client-secrets /path/to/your/client_secret.json --scope https://www.googleapis.com/auth/assistant-sdk-prototype --save ``` * This will open a browser window. Log in and grant permissions. * It will save a `credentials.json` file to `~/.config/google-oauthlib-tool/credentials.json`. ### 5. Final Configuration Ensure the `google_home_env` is accessible to Clawdbot. When Clawdbot runs the skill, it will look for your credentials in the standard `~/.config` path automatically. --- ## 🚀 Usage Simply tell the agent what to do: - "Turn off the office lights." - "Set the TV volume to 20." The agent will use the `control.py` script inside this skill to execute the command via Google Assistant.
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.